• Journal of Engineering Education Research
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• v.21 no.1
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• pp.44-55
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• 2018

The purpose of this study is to investigate the relationship between post - employment job satisfaction and both short-term (4-12 weeks) and long-term (12+weeks) on-site training. For this purpose, 405 graduates who had completed on-site training (205 short-term, 200 long term) during the school year were surveyed. The results of the comparative analysis of both short-term and long-term on-site training participants are as follows: In both short-term and long-term on-site training, it was found that on-site performance during the school year did not directly affect post-employment job satisfaction. In the case of short-term on-site training participants, job match and organizational commitment were found to have no mediating effect on the correlation between on-site training performance and job satisfaction. On the other hand, in the case of long-term on-site training participants, the analysis showed that job match and organizational commitment had mediating effects on the correlation between on-site training performance and job satisfaction. These effects are not solely attributable to differences in duration of training; the differences in operating systems and the degree of preparation derived from these systems also affect the level of on-site training for students, businesses, and schools. This paper summarizes these findings and suggests the following improvement plans for on-site training in the future: First, short-term on-site training is required to establish a systematic basis in order to enhance students' preparedness level. Second, both short-term and long-term on-site training should improve the skills and field understanding for students' majors through systematic quality management during the training period. Third, it is necessary for universities to increase expectations and quality of short-term on-site training for all involved while simultaneously reducing the gap between educational goals and practice in this field.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.1
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• pp.39-50
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• 2022

In this study, we suggested the optimal training period for predicting the streamflow using the LSTM (Long Short-Term Memory) model based on the deep learning and CMIP5 (The fifth phase of the Couple Model Intercomparison Project) future climate scenarios. To validate the model performance of LSTM, the Jinan-gun (Seongsan-ri) site was selected in this study. We comfirmed that the LSTM-based streamflow was highly comparable to the measurements during the calibration (2000 to 2002/2014 to 2015) and validation (2003 to 2005/2016 to 2017) periods. Additionally, we compared the LSTM-based streamflow to the SWAT-based output during the calibration (2000~2015) and validation (2016~2019) periods. The results supported that the LSTM model also performed well in simulating streamflow during the long-term period, although small uncertainties exist. Then the SWAT-based daily streamflow was forecasted using the CMIP5 climate scenario forcing data in 2011~2100. We tested and determined the optimal training period for the LSTM model by comparing the LSTM-/SWAT-based streamflow with various scenarios. Note that the SWAT-based streamflow values were assumed as the observation because of no measurements in future (2011~2100). Our results showed that the LSTM-based streamflow was similar to the SWAT-based streamflow when the training data over the 30 years were used. These findings indicated that training periods more than 30 years were required to obtain LSTM-based reliable streamflow forecasts using climate change scenarios.

• Korean Journal of Remote Sensing
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• v.40 no.1
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• pp.57-69
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• 2024

Crop classification plays a vitalrole in monitoring agricultural landscapes and enhancing food production. In this study, we explore the effectiveness of Long Short-Term Memory (LSTM) models for crop classification, focusing on distinguishing between apple and rice crops. The aim wasto overcome the challenges associatedwith finding phenology-based classification thresholds by utilizing LSTM to capture the entire Normalized Difference Vegetation Index (NDVI)trend. Our methodology involvestraining the LSTM model using a reference site and applying it to three separate three test sites. Firstly, we generated 25 NDVI imagesfrom the Sentinel-2A data. Aftersegmenting study areas, we calculated the mean NDVI values for each segment. For the reference area, employed a training approach utilizing the NDVI trend line. This trend line served as the basis for training our crop classification model. Following the training phase, we applied the trained model to three separate test sites. The results demonstrated a high overall accuracy of 0.92 and a kappa coefficient of 0.85 for the reference site. The overall accuracies for the test sites were also favorable, ranging from 0.88 to 0.92, indicating successful classification outcomes. We also found that certain phenological metrics can be less effective in crop classification therefore limitations of relying solely on phenological map thresholds and emphasizes the challenges in detecting phenology in real-time, particularly in the early stages of crops. Our study demonstrates the potential of LSTM models in crop classification tasks, showcasing their ability to capture temporal dependencies and analyze timeseriesremote sensing data.While limitations exist in capturing specific phenological events, the integration of alternative approaches holds promise for enhancing classification accuracy. By leveraging advanced techniques and considering the specific challenges of agricultural landscapes, we can continue to refine crop classification models and support agricultural management practices.

• Journal of the Korean Solar Energy Society
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• v.26 no.2
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• pp.27-34
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• 2006

In this paper, a forecasting model of wind speed at Walryong Site, Jeju Island is presented, which has been developed and evaluated as a first step toward establishing Korea Forecasting Model of Wind Power Generation. The forecasting model is constructed based on neural network and is trained with wind speed data observed at Cosan Weather Station located near by Walryong Site. Due to short period of measurements at Walryong Site for training statistical model Gosan Weather Station's long-term data are substituted and then transplanted to Walryong Site by using Measure-Correlate-Predict technique. One to three-hour advance forecasting of wind speed show good agreements with the monitoring data of Walryong site with the correlation factors 0.96 and 0.88, respectively.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.3 s.151
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• pp.407-411
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• 2006

This study was carried out to investigate the physiological responses of obese children after a short-term wear training and education. A ten-week program was conducted on thirteen obese elementary school children of six boys and seven girls in the 4th to the 6th grade. During the program, the children were instructed to measure daily ambient temperature and weight of their clothing. Physiological responses of the sedentary children in 100$\%$ cotton short sleeved t-shirt (0.13clo) and T/C short pants(0.09clo) were observed in the climatic chamber of 23.0$\pm$0.5$^{circ}C$ and 50$\pm$5$\%$RH before and after program. During the experiment, internal ear temperature ($T_{ear}$), seven site skin temperatures, systolic blood pressure, diastolic blood pressure, heart rate, and subjective responses of thermal comfort and thermal sensation were measured every 5minutes. Mean skin temperature($T_{sk}$) and mean arterial pressure(MAP) were calculated. Obtained data are statistically analyzed and main results are as follows. There was highly significant correlation between the ambient temperature and the total clothing weight. $T_{ear}$ and MAP were reduced in the post-program compared to the pre-program. The obese girls felt slightly warmer than the obese boys and the girls were likely to prefer lower ambient temperature in the post-program than the pre-program. It was concluded that the 10 week wear training is apt to be more applicable to the obese girls than the obese boys. However, a more comprehensive study including. diverse measurements of deep body temperature with a long-term training would be needed to clarify the improvement of temperature adaptability in the obese children.

• Journal of Korean Neurosurgical Society
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• v.52 no.1
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• pp.42-47
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• 2012

Objective : The aim of this prospective study was to demonstrate the influence of some factors on the prognosis of microvascular decompression in 37 patients with trigeminal neuralgia. Methods : The results of microvascular decompression (MVD) in 37 patients with trigeminal neuralgia were evaluated at 6 months after surgery and were compared with clinical and operative findings. Results : The sex of the patient, the patient's age at surgery, the side of the pain, and the duration of symptoms before surgery did not play any significant roles in prognosis. Also, the visual analogue scale (VAS) of the patient, the duration of each pain attack, and the frequency of pain over 24 hours did not play any significant roles in prognosis. In addition, intraoperative detection of the type of conflicting vessel, the degree of severity of conflict, and the location of the conflict around the circumference of the root did not play any roles in prognosis. The only factors affecting the prognosis in MVD surgery were intraoperative detection of the site of the conflict along the root and neuroradiological compression signs on preoperative magnetic resonance imaging (MRI)/magnetic resonance angiography (MRA). Conclusion : These findings demonstrated that if neurovascular compression is seen on preoperative MRI/MRA and/or compression is found intraoperative at the root entry zone, then the patient will most likely benefit from MVD surgery.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.73-86
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• 2012

This study has the purpose to increase the suitability for the introduction and operation of the curriculum utilizing business simulation games from university education. So we investigated about the usage in management education department of domestic and foreign universities, institutions target for enterprise level education, and giant companies such as Samsung and LG. We surveyed about the demand of it from college students at the management and engineering departments and then designed two basic course models. As research methods, literature research, on-site experts and operators interview on domestic enterprises and institutions of representative companies was conducted. We analysed the course syllabi of some domestic and about 50 foreign universities utilizing it with the literature review. Then we analysed the result of usage investigation and demand survey. According to the results, the relatively small number of universities and corporate institutions compared to U.S. were utilizing it for their training courses in short-term and partial Lab. Results are expected to be used in the training courses of business administration in universities and corporate.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1677-1689
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• 2022

Air pollution is social issue that has long-term and short-term harmful effect on the health of animals, plants, and environments. Chimneys are the primary source of air pollutants that pollute the atmosphere, so their location and type must be detected and monitored. Power plants and industrial complexes where chimneys emit air pollutants, are much less accessible and have a large site, making direct monitoring cost-inefficient and time-inefficient. As a result, research on detecting chimneys using remote sensing data has recently been conducted. In this study, YOLOv5-based chimney detection model was generated using BUAA-FFPP60 open dataset create for power plants in Hebei Province, Tianjin, and Beijing, China. To improve the detection model's performance, data split and data augmentation techniques were used, and a training strategy was developed for optimal model generation. The model's performance was confirmed using various indicators such as precision and recall, and the model's performance was finally evaluated by comparing it to existing studies using the same dataset.

• Journal of Chest Surgery
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• v.47 no.2
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• pp.117-123
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• 2014

Background: Implanted venous access devices or permanent central venous access systems (PCVASs) are routinely used in oncologic patients. Complications can occur during the implantation or use of such devices. We describe such complications of the PCVAS and their management. Methods: Our retrospective study included 1,460 cases in which PCVAS was implanted in the 11 years between January 2002 and January 2013, including 810 women and 650 men with an average age of 45.2 years. We used polyurethane or silicone catheters. The site of insertion and the surgical or percutaneous procedure were selected on the basis of clinical data and disease information. The subclavian and cephalic veins were our most common sites of insertion. Results: About 1,100 cases (75%) underwent surgery by training surgeons and 360 patients by expert surgeons. Perioperative incidents occurred in 33% and 12% of these patients, respectively. Incidents (28%) included technical difficulties (n=64), a subcutaneous hematoma (n=37), pneumothoraces (n=15), and an intrapleural catheter (n=1). Complications in the short and medium term were present in 14.2% of the cases. Distortion and rupture of the catheter (n=5) were noted in the costoclavicular area (pinch-off syndrome). There were 5 cases of catheter migration into the jugular vein (n=1), superior vena cava (n=1), and heart cavities (n=3). No patient died of PCVAS insertion or complication. Conclusion: PCVAS complications should be diagnosed early and treated with probable removal of this material for preventing any life-threatening outcome associated with complicated PVCAS.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.20 no.3
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• pp.147-155
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• 2010

This study was conducted to investigate the benzene exposure levels in coal chemical and petrochemical refining industries during BTX turnaround (TA) processes where benzene was being produced. Three companies producing benzene were selected, one coal chemical and two petrochemical industries. TA processes were classified into three stages: shut down, maintenance, and start up. Data was analyzed by classifying the refining method into 2 groups (Petrochemistry, Coal chemistry) for 823 workers. Comparing the data from petrochemical industries with data from a coal chemical refining industry, while benzene concentration levels of long-term samples during TA were not statistically different (p> 0.05), those levels of short-term samples were significantly different (p< 0.001). About 4.79 % of data in petrochemical industries exceed the occupational exposure limits (OELs) of benzene, 1 ppm. In a coal refining methods, about 15.7% exceeded the benzene OELs. The benzene concentrations in maintenance and start up stage of TA for petrochemical refineries were higher than those in a coal chemical refinery (p <0.01). These findings suggest that the coal chemical refining site requires more stringent work practice controls compare to petrochemical refining sites during TA processes. Personal protective equipments including organic respirators should be used by TA workers to protect them from benzene overexposure.